Barbara and Inductive Automation collaborate to enable instant deployment of Ignition® via the Barbara Edge Orchestration Platform. With Ignition® now available in the Barbara Marketplace, industrial users can seamlessly deploy and manage SCADA applications at the edge, drastically reducing installation time, manual effort, and maintenance costs.

The strategic collaboration merges ASRock Industrial’s high-performance computing systems with Barbara’s secure Edge AI platform, enabling remote orchestration, zero-trust security, and scalable, software-defined automation for Industry 4.0.

Barbara and N3uron join forces to deliver secure, real-time data and AI capabilities at the industrial edge. This strategic collaboration empowers industrial companies to accelerate digital transformation by bringing analytics and AI closer to where data is generated.

Barbara Platform v3.1.0 marks a major leap in edge computing by introducing High Availability (HA), bringing cloud-grade resilience, fault tolerance, and uninterrupted uptime to edge environments. Leveraging Docker Swarm, this release enables users to create robust clusters, maintain persistent data, and ensure seamless service continuity, even during node failures or updates. Know more.

At InnoVerse 2025 in Hyderabad, Barbara joined Tech Mahindra and global industry leaders to spotlight the rise of Edge AI as a megatrend in industrial transformation. As enterprises race to operationalize AI at scale, Barbara is helping lead the charge, building a collaborative Edge AI Ecosystem that will accelerate the adoption of AI in Industry.

As industrial operations grow more distributed and data-driven, cybersecurity must keep up. The old model stacking specialized hardware in datacenters, is fast becoming obsolete. In this article, we explore virtualized cybersecurity as a strategic game-changer, especially for sectors like oil & gas, utilities, and manufacturing.

We’re excited to announce a highly requested feature: the unified log viewer. Quietly introduced in version 3.0.1, this powerful addition brings clarity, flexibility, and control to your real-time application monitoring.

As industries seek faster insights and real-time responsiveness, Edge MLOps (Machine Learning Operations at the Edge) is emerging as a game-changer. Unlike traditional MLOps that rely on centralized cloud infrastructure, Edge MLOps enables machine learning models to be deployed, monitored, and retrained close to the data source.

This article takes you inside a real-world deployment where MLOps at the edge powers hourly solar radiation forecasts in a photovoltaic plant. By combining AI with real-time data flows, and cloud integration, the solution delivers higher prediction accuracy, faster response times, and optimized plant performance. Discover how Edge MLOps is transforming solar forecasting.